TRAILS Trustworthy Machine Learning Seminar — Fall 2026

Tuesdays, 2:00-3:00 pm ET, from September to 8 December 1 (no talk October 13), in CSIC 2120 at the University of Maryland and on Zoom:

Zoom link: umd DOT zoom DOT us SLASH 93960331973 QUESTIONMARK pwd EQUALS tVQ7gtFucJEkSYna38zePzkPpHm3J7.1

Free and open to everyone; no registration needed.

Each week a researcher from across the TRAILS community presents current work on what it takes to make AI systems worth trusting: measuring and evaluating their behavior, interpreting and steering them, keeping them robust and secure, protecting privacy, and understanding how people actually rely on them — with occasional excursions into the philosophy and psychology of trust.

Talks are 40 minutes, followed by 20 minutes of discussion.